Archie I Campbell

The paper identifies 16 genetic loci interacting with sleep duration to influence glycemic traits in over 480,000 individuals, revealing distinct biological mechanisms for short and long sleep.

The paper performs genome-wide association studies on 439 high-abundance serum proteins in 15,035 Scottish individuals, identifying 1,553 SNP signals and 13 putative causal protein-outcome associations.

The paper introduces JODIE, a model to estimate direct, indirect, and parent-of-origin genetic effects on height, BMI, and educational attainment using family trios from two biobanks.

This paper identifies 58 genome-wide significant loci for major anxiety disorders using a large meta-analysis and highlights GABAergic signaling as a potential mechanism.

The paper describes a large DNA methylation dataset from the Generation Scotland cohort, providing methylation profiles and associated phenotypes for research purposes.

The paper uses case-control data from over 400,000 women to classify BRCA1 and BRCA2 variants, finding high consistency with ClinVar annotations for 785 previously unclassified variants.

This study identifies 1,257 genetic variants associated with human personality traits using large-scale GWAS and finds widespread genetic correlations with behaviors and life outcomes.

The paper updates a polygenic index repository with more phenotypes, datasets, and improved causal inference methods, enhancing predictive performance and interpretability.

The paper conducts a Bayesian EWAS and GWAS of smoking using DNA methylation data from blood and brain tissues, identifying smoking-related loci and developing an epigenetic biomarker.

This paper introduces a framework to build saliva-based DNA methylation biomarkers, demonstrating a new epigenetic clock (InflammAge) that quantifies systemic chronic inflammation and outperforms CRP in several health outcomes.

The paper identifies 52 genome-wide associations for urinary metabolites and finds causal relationships between eGFR and 13 metabolites.

Family-based GWAS meta-analysis of 34 phenotypes shows standard GWAS effects carry sizeable confounding uncorrelated with direct genetic effects, while assortative mating likely inflates SNP heritability and genetic correlations.

The paper develops epigenetic scores for GDF15 and NT-proBNP levels, showing associations with disease risks and brain health traits in two cohorts.

This paper uses Mendelian randomisation to identify potential drug targets for cardiovascular disease by analysing protein levels in plasma and PBMCs from large cohorts.

This study identifies genetic signals associated with age at menarche, highlights genes involved in pubertal development, and links reproductive timing to later life disease risk.

The paper introduces MAJA, a method for joint association testing in multi-omics data, finding shared epigenetic pathways across multiple traits in methylation data.

This paper develops an epigenetic score to objectively measure alcohol consumption using blood-based DNA methylation and validates it across multiple cohorts, finding associations with brain health metrics.

This paper introduces RTFS, a method for pre-selecting CpGs for disease prediction models, and shows it performs well for predicting type 2 diabetes onset risk.

The paper identifies differential DNA methylation patterns associated with traumatic injury in individuals with MDD compared to controls, highlighting synaptic plasticity and GABAergic-signalling pathways.

This study identifies fetal and maternal GDF15 as key factors in pregnancy-related nausea and vomiting, showing their roles in disease risk and severity.

The paper evaluates normalization methods for DNA methylation data to improve BMI prediction across cohorts when projecting new data onto a reference panel.

This study performs a multi-ancestry GWAS on lung function and COPD, identifying 559 genes and 29 pathways, and showing genetic risk scores are associated with COPD across ancestries.

The paper refines epigenetic predictors of chronological and biological age using large-scale EWAS and external validation, improving cAge prediction and outperforming existing bAge predictors.

The paper identifies parent-of-origin effects on the methylome linked to aging rates by analyzing CpG methylation in a large family cohort.

The paper conducts blood-based epigenome-wide association studies on 19 disease states, identifying novel CpG-disease associations and highlighting poor replication in existing literature.

This study evaluates polygenic risk score methods across diverse biobanks and ancestries, finding that European reference panels often yield better performance, while PRS-CS outperforms P+T for high-heritability traits.

This study identifies 118 candidate causal genes and 21 novel lipid loci on the X chromosome through a multi-ancestry meta-analysis of blood lipid levels, revealing sex-biased effects and pleiotropy with cardiovascular and hormonal traits.

This paper shows that meta-analysis fine-mapping is often miscalibrated due to cohort heterogeneity and introduces a QC method to identify suspicious loci.

Meta-analysis of harmonized GWAS from up to 18 biobanks (six ancestry groups) across 14 endpoints replicated 320 known loci and identified 188 apparently novel loci.